AI dance music is a kind of EDM made or improved by AI. AI can do many things with dance music, like making new songs, mixing old ones or adding effects. AI dance music has benefits and drawbacks. It can be more creative, diverse, easy, fast and fun but it can also lose human touch, feeling, originality, realness, control or ethics.
In this article, we will explore some of the latest developments and trends in AI dance music. We will discuss the opinions and experiences of DJs and producers who use or encounter AI in dance music. We will also introduce some of the most innovative and impressive AI dance music projects and artists that are shaping the future of EDM.
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AI Dance Music – DJs and Producers Confused
AI dance music is a controversial topic among DJs and producers. Some are excited and curious about AI and use it to enhance their creativity and productivity. They use platforms like Jukedeck to create custom music using AI. They question the quality and authenticity of AI-generated music. They use platforms like Amper Music to create professional-quality music using AI.
They stick to their traditional methods and tools to create and perform dance music. They may not be aware of platforms like Boomy that allow users to create original songs using AI. There is no consensus among DJs and producers on how they view or use AI in dance music. However, AI is here to stay in the dance music scene whether we like it or not whether we know it or not whether we use it or not.
AI Choreographer: Music Conditioned 3D Dance
One of the most fascinating aspects of dance music is how it inspires people to move their bodies in sync with the rhythm and melody. Dance is a form of expression that transcends language barriers and cultural differences. Dance is also a form of art that requires skill and practice to master.
However, what if we could use AI to generate realistic 3D dance motions from any music? That is exactly what Google researchers have done with their project called AI Choreographer. AI Choreographer is a cross-modal transformer model that can learn the relationship between music and dance from a large-scale dataset of 3D dance motions and audio clips. The model can then use this knowledge to create novel and diverse dance motions for any given music input.
The dataset that the model uses is called AIST++, which is an extension of the AIST Dance Video Database. AIST++ contains over 240 hours of 3D dance motions and corresponding audio clips, covering 10 genres of dance and music, such as ballet, hip-hop, jazz, rock, etc.
The model works by encoding the music input and the dance motion output using separate transformer networks. The music encoder extracts feature from the audio clip, such as pitch, timbre, tempo, and beat. The dance decoder generates a sequence of 3D joint positions for each frame of the motion, using the music features as a condition.
Some applications of AI Choreographer are:
- Creating virtual dancers or instructors for games, VR, or AR.
- Enhancing music videos or live performances with dynamic visuals.
- Analyzing or synthesizing dance styles or genres.
- Exploring or discovering new forms of expression or creativity.
Infinite Number of Dance Ideas
TikTok is one of the most popular social media platforms in the world, especially among young people. TikTok allows users to create and share short videos that often feature music, lip-syncing, comedy, or challenges. One of the most popular types of videos on TikTok is dance videos, where users show off their moves to catchy songs or trends.
However, what if we could use AI to generate an infinite number of dance ideas for TikTok based on audio input? That is exactly what Stanford University researchers have done with their project called Music-to-Dance. Music-to-Dance is an edge AI system that can generate realistic and diverse dance motions for any given audio input in real time on a mobile device.
Edge AI is a type of AI that runs on local devices rather than on cloud servers. Edge AI has many advantages over cloud AI, such as lower latency, higher privacy, lower cost, and higher reliability. Edge AI is especially useful for applications that require fast and interactive feedback, such as gaming, navigation, or entertainment.
Some benefits of Music-to-Dance are:
- Providing inspiration or guidance for TikTok users who want to create dance videos.
- Enhancing user engagement or enjoyment with interactive and dynamic content.
- Promoting physical activity or health by encouraging users to move their bodies.
- Exploring or discovering new forms of expression or creativity.
Dancing AI – Predict Dance Coordinates for Songs
Another way to use AI to create dance motions from music is to use a recurrent neural network (RNN) that can learn from sequential data. RNNs are a type of neural network that can process temporal data, such as text, speech, or video. RNNs have a memory mechanism that allows them to store information from previous inputs and use it to influence future outputs.
One example of using LSTM networks to create dance motions from music is the DANCING-AI project by Keshav Octavio, a computer science student from India. DANCING-AI is a LSTM network that can predict dance coordinates for songs based on pose estimation from dance videos. The network works by taking a song as an input and outputting a sequence of 2D joint positions for each frame of the motion.
Some limitations of Dancing AI are:
- The quality and accuracy of the predicted dance coordinates depend on the quality and quantity of the training data.
- The network does not take into account the spatial or temporal context of the dance motions.
- The network does not consider the aesthetics or expressiveness of the dance motions.
- The network does not generate 3D or realistic dance motions.
Frequently Asked Questions
What is AI dance music?
AI dance music is a type of electronic dance music (EDM) that is created or influenced by artificial intelligence (AI) technologies.
How does AI create dance music?
AI can create dance music by using various methods, such as generating original compositions, mixing existing tracks, recommending songs, enhancing sound quality, or adding effects.
What are some examples of AI dance music projects or artists?
Some examples of AI dance music projects or artists are AI Choreographer by Google, Music-to-Dance by Stanford University, DANCING-AI by Keshav Octavio, Jukedeck, Amper Music, Boomy, Endel, Mubert, etc.
What are the benefits of using AI to create dance music?
Some benefits of using AI to create dance music are increasing creativity, diversity, accessibility, efficiency, personalization, and fun.
What are the challenges or risks of using AI to create dance music?
Some challenges or risks of using AI to create dance music are losing human connection, emotion, originality, authenticity, control, or ethics.
Conclusion
In this article, we have explored some of the latest developments and trends in AI dance music. We have discussed how AI can create or enhance dance music in various ways, such as generating original compositions, mixing existing tracks, recommending songs, enhancing sound quality, or adding effects.
AI dance music is a fascinating and exciting field that has many potential applications and implications for society and culture. However, it is also a complex and controversial field that has many ethical and social issues and challenges to consider and address.
